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coupanginternal
Страна
США
Зарплата
142 000 $ – 309 000 $
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В офисеПолная занятость

Staff Data Engineer, Search and Discovery

Оценка ИИ

Отличная позиция в крупной публичной компании с сильной инженерной культурой, высокой верхней границей зарплаты и значительным влиянием на продукт.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена уровнем Staff, требующим более 6-8 лет опыта, глубоких знаний распределенных систем и умения работать с огромными объемами данных в реальном времени.

Анализ зарплаты

Медиана220 000 $
Рынок180 000 $ – 280 000 $
Оценка ИИ

Предлагаемый диапазон ($142k - $309k) полностью соответствует и даже превышает рыночные стандарты для Staff-позиций в Кремниевой долине и Сиэтле, особенно с учетом бонусов и акций.

Сопроводительное письмо

I am writing to express my strong interest in the Staff Data Engineer position within the Search and Discovery team at Coupang. With over 8 years of experience in building scalable data infrastructure and a deep proficiency in Python, SQL, and distributed systems like HDFS and Airflow, I am confident in my ability to drive the technical excellence of your data platforms. My background in optimizing high-volume ETL/ELT systems aligns perfectly with Coupang's mission to provide a seamless and personalized shopping experience.

In my previous roles, I have successfully partnered with Data Science and Product teams to ensure data reliability and observability at scale. I am particularly drawn to this role because of the massive impact Search and Recommendations have on Coupang’s daily operations, driving over 70% of product discovery. I am eager to bring my expertise in performance optimization and cost efficiency to help Coupang continue its rapid growth and disrupt the e-commerce industry.

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Откликнитесь в coupanginternal уже сейчас

Присоединяйтесь к команде Coupang, чтобы создавать инновационные системы поиска и рекомендаций для миллионов пользователей!

Описание вакансии

Please complete the attached Internal Transfer Request Formand submit. 

Please make sure to apply with your Coupang e-mail address. 

(This role is open to both Mountain View and Seattle location)

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.   

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.   

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.  

Role Overview 

The Search and Discovery team is responsible for creating a world class search and discovery shopping experience for our customers, from “intent” based shopping to delighting the customer with serendipitous product discovery on every visit. 

We are obsessed with optimizing the entire search customer journey, from query understanding and search relevance to personalized and category/mission aware search and recommendation experiences. We believe the experience of finding the right fresh groceries should be personal and different from shopping for a new laptop or your next pair of jeans. Search and Recommendations drive over 70% of product discovery for our millions of daily customers, so the scale and impact of our work is massive!

Within S&D, the Data Science and Analytics team analyzes customer data to determine how our Search models should be designed. This includes assessing how customers interact with our search results, analyzing experiments, building predictive models, and much more. We partner with Product and Engineering to turn these insights into changes to our Search models.

What You Will Do 

  • Ideate, build, and manage analytics and production data ETL/ELT systems for high-volume data ingestion from diverse sources
  • Partner with Data Science, Engineering, and Product to enable reliable, accurate logging/implementation and usage of Search data
  • Ensure data quality, observability, and reliability across the data lifecycle
  • Optimize systems for performance, cost efficiency, and scalability
  • Define and manage SLAs for data systems
  • Ensure security and compliance of data per industry standards

Minimum Qualifications 

  • 6 years of relevant industry experience as a data engineer in a technology company
  • Bachelor's degree in Computer Science or equivalent

Preferred Qualifications 

  • 8+ years experience in data/engineering overall
  • Proficiency in Python and SQL
  • Experience with distributed processing technologies and frameworks and distributed storage systems (e.g. HDFS, S3)
  • Experience with ETL schedulers (e.g. Airflow, Dagster, DBT)

Pay & Benefits 

Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation.  The base pay for this position ranges from $142,000/year in our lowest geographic market to $309,000/year in our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.      

General Description of All Benefits 

  • Medical/Dental/Vision/Life, AD&D insurance
  • Flexible Spending Accounts (FSA) & Health Savings Account (HSA)
  • Long-term/Short-term Disability
  • Employee Assistance Program (EAP) program
  • 401K Plan with Company Match
  • 18-21 days of the Paid Time Off (PTO) a year based on the tenure
  • 12 Paid Holidays
  • Paid Parental leave
  • Pre-tax commuter benefits
  • MTV - [Free] Electric Car Charging Station

General Description of Other Compensation  

“Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale.      

Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or gender (including pregnancy, gender identity, gender expression, sexual orientation, transgender status), national origin, age, disability, medical condition, HIV/AIDS or Hepatitis C status, marital status, military or veteran status, use of a trained dog guide or service animal, political activities, or affiliations, citizenship, or any other characteristic or class protected by the laws or regulations in the locations where we operate. If you need assistance and/or reasonable accommodation in the recruiting process due to a disability, please contact us at usrecruiting@coupang.com.   

Requisition ID: R0068202

Please completethe attached Internal Transfer Request Formand submit. 

Please make sure to apply with your Coupang e-mail address.

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Навыки

  • Python
  • SQL
  • HDFS
  • S3
  • Airflow
  • Dagster
  • dbt
  • ETL
  • ELT
  • Distributed Systems
  • Data Engineering

Возможные вопросы на собеседовании

Для уровня Staff важно понимать, как кандидат проектирует системы, способные обрабатывать петабайты данных с минимальной задержкой.

Опишите ваш опыт проектирования масштабируемой архитектуры данных для систем поиска или рекомендаций. С какими узкими местами вы сталкивались?

Поиск в Coupang требует высокой точности данных для моделей машинного обучения.

Как вы обеспечиваете качество и наблюдаемость (observability) данных в сложных ETL-конвейерах?

Роль подразумевает работу с HDFS, S3 и Airflow.

Расскажите о случае, когда вам пришлось оптимизировать производительность распределенной системы обработки данных. Каких результатов удалось достичь?

Staff-инженер должен уметь балансировать между техническим совершенством и бизнес-целями.

Как вы расставляете приоритеты между внедрением новых функций и техническим долгом/оптимизацией затрат на инфраструктуру?

Позиция требует тесного взаимодействия с Data Science и Product Management.

Опишите ваш опыт сотрудничества с дата-сайентистами для внедрения моделей в продакшн. Как вы организуете процесс логирования и сбора признаков?

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coupanginternal
Страна
США
Зарплата
142 000 $ – 309 000 $